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Duplicated from  MannasAI/manas-1-small-40M

MannasAI
/
manas-1-medium-400M

Feature Extraction
Transformers
Safetensors
PyTorch
English
manas1
eeg
neuroscience
foundation-model
masked-autoencoder
representation-learning
custom_code
Model card Files Files and versions
xet
Community
1

Instructions to use MannasAI/manas-1-medium-400M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MannasAI/manas-1-medium-400M with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="MannasAI/manas-1-medium-400M", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("MannasAI/manas-1-medium-400M", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
manas-1-medium-400M
1.62 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 9 commits
mannasAI-labs's picture
mannasAI-labs
Delete mannas_medium_encoder.pt
84679fc verified 13 days ago
  • .gitattributes
    1.52 kB
    Duplicate from NeuroDX/manas-1-small about 1 month ago
  • LICENSE
    35.1 kB
    Publish MANAS-1 medium safetensors and model card (#1) 13 days ago
  • README.md
    3.27 kB
    Publish MANAS-1 medium safetensors and model card (#1) 13 days ago
  • config.json
    57 kB
    Publish MANAS-1 medium safetensors and model card (#1) 13 days ago
  • model.py
    17 kB
    Publish MANAS-1 medium safetensors and model card (#1) 13 days ago
  • model.safetensors
    1.62 GB
    xet
    Publish MANAS-1 medium safetensors and model card (#1) 13 days ago
  • positions.json
    59.9 kB
    Publish MANAS-1 medium safetensors and model card (#1) 13 days ago
  • requirements.txt
    50 Bytes
    Publish MANAS-1 medium safetensors and model card (#1) 13 days ago